Essays about: "Bank Fraud"

Showing result 1 - 5 of 17 essays containing the words Bank Fraud.

  1. 1. Credit Card Fraud Detection by Nearest Neighbor Algorithms

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Ramin Maghsood; [2023-04-13]
    Keywords : Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

    Abstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE

  3. 2. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    University essay from KTH/Matematik (Avd.)

    Author : Nazar Maksymchuk Netterström; [2023]
    Keywords : Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE

  4. 3. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Rubio Adeva; [2023]
    Keywords : Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE

  5. 4. Exploring the Use of Blockchain Technology to Address Cybersecurity Risks in Banking and Finance

    University essay from KTH/Hälsoinformatik och logistik

    Author : Eman Din; [2023]
    Keywords : blockchain technology; bank and financial sector; security; privacy; advantages and challenges of blockchain technology; blockkedjeteknik; bank- och finanssektor; säkerhet; integritet; fördelar och utmaningar med blockkedja teknik;

    Abstract : The growing reliance on digital services has led to an escalation in cyber risks and attacks targeting banks and financial institutions. Such cyber threats necessitate innovative solutions. But to achieve it, one needs to overcome the challenges of seeking reliable information on utilizing blockchain technology to combat cyber-attacks. READ MORE

  6. 5. First cycle, 15 credits Machine Learning based Clustering of Bank Card Consumers : Identification of risk groups for fraud detection purposes

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jacob Hernberg; Ali Cicek; [2022]
    Keywords : ;

    Abstract : To safeguard consumers, banks have developed machine learning based fraud detections systems which work to prevent fraudulent card transactions from occurring. The goal of this report is to improve these systems by trying to segment consumers into different risk groups. READ MORE